Masaya Urakami
- Cardiology and Cardiovascular Medicine top 10%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 10%
- Pulmonary and Respiratory Medicine
- Clinical Biochemistry
- Co-authors
- Mitsuo InadaHiroaki MatsubaraJiro SuzukiSatoshi MurasawaYasukiyo MoriYukihisa UmedaYoko YamaneTatsuji Kimura
- Topics
- Neuroendocrine regulation and behavior (3 papers)Electrolyte and hormonal disorders (3 papers)Hormonal and reproductive studies (2 papers)
- Cited by
- Cardiology and Cardiovascular MedicineEndocrinology, Diabetes and MetabolismClinical Biochemistry
- Journals
- Journal of Biological ChemistryCirculation ResearchThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- Japan
In The Last Decade
Masaya Urakami
10 papers receiving 383 citations
Peers
Comparison fields: 5 of 53
- Cardiology and Cardiovascular Medicine 242
- Molecular Biology 223
- Endocrinology, Diabetes and Metabolism 145
- Pulmonary and Respiratory Medicine 39
- Clinical Biochemistry 34
Countries citing papers authored by Masaya Urakami
This map shows the geographic impact of Masaya Urakami's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Masaya Urakami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masaya Urakami more than expected).
Fields of papers citing papers by Masaya Urakami
This network shows the impact of papers produced by Masaya Urakami. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Masaya Urakami. The network helps show where Masaya Urakami may publish in the future.
Co-authorship network of co-authors of Masaya Urakami
This figure shows the co-authorship network connecting the top 25 collaborators of Masaya Urakami. A scholar is included among the top collaborators of Masaya Urakami based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Masaya Urakami. Masaya Urakami is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 55 | |
| 3 | 1 | |
| 4 | 236 | |
| 5 | 46 | |
| 6 | 14 | |
| 7 | Platelet vasopressin receptor in patients with chronic renal failure. | 2 |
| 8 | Urinary Dipeptidyl Aminopeptidase IV (U-DAP IV) Activity in Patients with Impaired Glucose Tolerance and Diabetes Mellitus | 1 |
| 9 | 3 | |
| 10 | 23 |
About Masaya Urakami
Masaya Urakami is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Endocrine and Autonomic Systems, having authored 10 papers that have together received 390 indexed citations. Recurring topics across this work include Neuroendocrine regulation and behavior (3 papers), Electrolyte and hormonal disorders (3 papers) and Hormonal and reproductive studies (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (242 citations), Endocrinology, Diabetes and Metabolism (145 citations) and Clinical Biochemistry (34 citations). Masaya Urakami has collaborated with scholars based in Japan. Frequent co-authors include Mitsuo Inada, Hiroaki Matsubara, Jiro Suzuki, Satoshi Murasawa, Yasukiyo Mori, Yukihisa Umeda, Yoko Yamane, Tatsuji Kimura, Kumiko Iida and Atsushi Kosaki. Their work appears in journals such as Journal of Biological Chemistry, Circulation Research and The Journal of Clinical Endocrinology & Metabolism.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.